The complete reading list.

Write your first Python program and print to the screen.

Numbers, strings, booleans — the building blocks.

Arithmetic, powers, the math module — Python as a calculator.

Slicing, methods, and f-strings — text manipulation done right.

Make decisions and repeat yourself — but only on purpose.

Loop until a condition fails. Bail out or skip with break/continue.

Collections of things, and how to walk through them.

Carve up lists and strings with [start:stop:step].

Two more collections: tuples are fixed, sets are unique.

Key → value pairs. The most important data structure in Python.

Empty things are False. `is` vs `==`. The infamous None.

The Pythonic ways to iterate — count, pair, sequence.

Bundle up logic so you can reuse it.

Lists of dicts, dicts of lists — modelling real-world data.

Filter and transform in one line — the Pythonic way.

Functions as values. When list comprehensions feel too long.

Variable arguments and how to forward them.

Lazy iteration with `yield` — handle huge sequences in O(1) memory.

Catch what could go wrong, recover gracefully.

Acquire and release resources cleanly. The `with` block, demystified.

How Python finds code. import, from, as.

Parse and produce JSON — the universal data format.

Pattern matching for text — find, extract, validate.

Today, deltas, parsing, formatting — without losing your mind.

Three power tools from the `collections` module.

Functions that call themselves — and how to stay sane doing it.

Read and write 'files' that live in memory — perfect for browser Python.

Bundle state and behavior — the basics of OOP in Python.

Build on existing classes. When to do it (and when not to).

How `len(x)`, `x + y`, `x[0]` and `for x in obj` actually work.

Wrap functions to add behavior — logging, timing, caching.

Inner functions remember their enclosing scope. Powerful and tricky.

Optional static typing — documentation that tools can check.

Stop writing boilerplate __init__ and __repr__.

The protocol behind every for-loop. Build your own.

Concurrent code without threads. The asyncio model.

Vectorized math in Python. Auto-installs NumPy in your browser on first run.

DataFrames in your browser. Auto-installs pandas on first run.